Evidence map›Paper›PMID 42136959›Full record

ArticleACS applied nano materials2026

Single-Particle Analysis of Cargo-Dependent Deformation in Lipid Nanoparticles Using Resistive Pulse Sensing: Implications for Formulation Optimization and Quality Control of mRNA Nanomedicine.

Janeesha Manawasinghe, Santosh Khatri, Navod Thyashan, Tong Wu, Mohamad-Gabriel Alameh, Min Jun Kim

Abstract read
In one paragraph

Article in ACS applied nano materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Janeesha ManawasingheDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas 75205, United States.
Santosh KhatriDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas 75205, United States.
Navod ThyashanDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas 75205, United States.
Tong WuDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine and Penn Institute for RNA Innovation, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States; Department of Pathology and Laboratory Medicine and Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19103, United States.
Mohamad-Gabriel AlamehDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine and Penn Institute for RNA Innovation, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States; Department of Pathology and Laboratory Medicine and Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19103, United States.
Min Jun KimDepartment of Mechanical Engineering, Southern Methodist University, Dallas, Texas 75205, United States.ORCID 0000-0002-0819-1644

Funding

Multimodal Label-Free Nanosensor for Single Virus Characterization and Content AnalysisR01GM149949 · NIGMS · SOUTHERN METHODIST UNIVERSITY · PI MinJun Kim · 2023 to 2026
$1.7M
NIGMS NIH HHS R01 GM149949
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are widely used for mRNA delivery and gene therapy, with their functional performance and therapeutic efficacy closely linked to nanoscale mechanical properties and formulation consistency. Nanopore-based technique offers a label-free platform to resolve LNP size, translocation dynamics, and confinement-induced deformation. Here, we investigate three LNP formulations with defined mRNA cargo loading: empty LNPs (eLNP), partially loaded LNPs containing an average of approximately 7 mRNA copies (LNP1), and fully loaded LNPs containing an average of approximately 32 mRNA copies (LNP2), using nanopipette-based resistive pulse sensing. By systematically tuning the nanopipette diameter, we demonstrate that geometric confinement critically governs sensitivity to cargo-dependent LNP deformation. Nanopipettes with 350 nm pores provide weaker confinement and limited discrimination between LNP subpopulations, whereas stronger confinement with 250 nm pores markedly enhances sensitivity to deformation. Under increased electric-field strength in the smaller nanopipettes, eLNPs exhibit pronounced reductions in relative current blockade (Δ

Indexed as

electro-deformationlipid nanoparticlesmachine learningnanopipetteresistive-pulse sensing

Identifiers

PMID42136959
PMCPMC13171167

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.